The Data Science Workshop: A New, Interactive Approach to Learning Data Science
- Keel
- inglise
- Formaat
- Kategooria
Teadmiskirjandus
Cut through the noise and get real results with a step-by-step approach to data science
Key Features
• Ideal for the data science beginner who is getting started for the first time
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• A data science tutorial with step-by-step exercises and activities that help build key skills
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• Structured to let you progress at your own pace, on your own terms
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• Use your physical print copy to redeem free access to the online interactive edition
Book Description
You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results.
Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding.
Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book.
Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.
What you will learn
• Find out the key differences between supervised and unsupervised learning
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• Manipulate and analyze data using scikit-learn and pandas libraries
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• Learn about different algorithms such as regression, classification, and clustering
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• Discover advanced techniques to improve model ensembling and accuracy
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• Speed up the process of creating new features with automated feature tool
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• Simplify machine learning using open source Python packages
Who this book is for
Our goal at Packt is to help you be successful, in whatever it is you choose to do. The Data Science Workshop is an ideal data science tutorial for the data science beginner who is just getting started. Pick up a Workshop today and let Packt help you develop skills that stick with you for life.
© 2020 Packt Publishing (E-raamat): 9781838983086
Väljaandmise kuupäev
E-raamat: 29. jaanuar 2020
- Allüürnik Freida McFadden
- Karulõks Berit Sootak
- Misterioso Arne Dahl
- Mõrv Langley metsas Betty Rowlands
- Kui meri rahuneb Jørn Lier Horst
- Variatsioon Rebecca Yarros
- Lapsemäng Angela Marsons
- Uskumuste meelevallas Donna Leon
- Külm nagu kivi Alex Smith
- Kalendritüdruk Sebastian Fitzek
- Ära kasutatud, vägistatud ja müüdud Jessika Devert, Paulina Bengtsson
- Mees. Otse ja ausalt Jesper Parve
- Raamatukogu viimased päevad Heli Künnapas
- Safranisügis Maija Kajanto
- Vales seltskonnas Viveca Sten
- Allüürnik Freida McFadden
- Petlik tõde Colleen Hoover
- Prouad tõsielusarjas ja armastuse otsinguil Sirje Salu
- Märgistatud Max Seeck
- Cragside’i häärber L. J. Ross
- Lenda minuga Katariina Tammert
- Ära kasutatud, vägistatud ja müüdud Jessika Devert, Paulina Bengtsson
- Koole maha, kaunitar Helena Marchmont
- Safranisügis Maija Kajanto
- Külm nagu kivi Alex Smith
- Mees. Otse ja ausalt Jesper Parve
- Karulõks Berit Sootak
- Kaneelisaiakese raamatupood Laurie Gilmore
- Tõde ja õigus I Anton Hansen Tammsaare
- Marta Leelo Kassikäpp
- Petlik tõde Colleen Hoover
- Ära kasutatud, vägistatud ja müüdud Jessika Devert, Paulina Bengtsson
- Rehepapp Andrus Kivirähk
- Armastuse hüpotees Ali Hazelwood
- Kaneelisaiakese raamatupood Laurie Gilmore
- Märgistatud Max Seeck
- Kõrvitsavürtsi kohvik Laurie Gilmore
- Safranisügis Maija Kajanto
- Keelutsoon M. W. Craven
- Võib-olla ühel päeval Ketlin Priilinn
- Seitse õde. Maia lugu Lucinda Riley
- Majakavaht Camilla Läckberg
- Koduabiline Freida McFadden
- Mälestused temast Colleen Hoover
- Kehakeemia: kuus elumuutvat ainet David JP Phillips
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